Data Engineer; Principal Consultant

Position

Data Engineer (Principal Consultant #1086, 1858)
Inventory #: 1086, 1858

Location:

Springfield or Chicago
Union: IFSOE
Department:
Software Solutions
Anticipated Starting Salary Range: $64,322 - $81,284
Full Salary Range: $64,322 - $109,467
Office

Hours:

Monday – Friday 8:00 a.m. – 5:00 p.m.
Posted Date:
July 1, 2026
Closing Date:
Open Until Filled

Software solutions department is seeking a skilled and experienced Data Engineer to provide support for Agency initiatives revolving around the ISBE data warehouse. The ideal candidate will have a strong background in data architecture, data modeling, and Extract, Transform, Load (ETL) processes. This position functions under general supervision and reports to a supervisor.

• Develops, optimizes, and troubleshoots ETL/ELT processes to extract, transform, and load data from multiple sources.
• Supports ongoing data warehouse operations such as data migration, reporting, analysis, troubleshooting, and performance tuning.
• Collaborates with data engineers, analysts, and business stakeholders to deliver scalable data solutions.
• Interprets data and analyzes results using statistical techniques and provides ongoing reports.
• Creates and maintains documentation on large scale data warehouse models and processes.
• Identifies, analyzes, and interprets trends or patterns in complex data sets.
• Supports reporting and BI tools by preparing datasets, building queries, and optimizing data access.
• Participates in data governance, quality initiatives, and best practice development.
• Performs other duties as assigned.

• Bachelor's degree in Computer Science or other IT related field with 5‑8 years of experience, or an Associate's degree in one of these fields with 5‑8 years of experience performing development and application analysis work. (COPY OF TRANSCRIPTS REQUIRED AT TIME OF APPLICATION)
• Minimum of five years of experience in data warehousing and relational databases.
• Hands‑on experience with data warehousing concepts (Star Schema, Snowflake, fact/dimension tables).
• Proficiency with ETL/ELT tools and data integration technologies.
• Proficiency in Microsoft SQL Server, data modeling tools, ETL tools and data warehousing technologies.
• Strong SQL skills.
• Strong understanding of database concepts and data modeling.
• Strong analytical and problem‑solving skills, with the ability to translate business requirements into technical solutions.
• Excellent verbal and written communication skills, with the ability to effectively communicate complex technical concepts to non‑technical stakeholders and to troubleshoot support interfaces such as Data Quality Dashboard, Illinois Report Card, My Data Dashboard, data verse.
• GIT version control ability to translate business needs into technical requirements.
• Excellent communication and documentation skills.

• Experience with BI tools (Power BI, Tableau, Looker).
• Knowledge of cloud‑based data migration and implementation.
• Knowledge of scripting languages (Python, Shell).
• Background in education data and reporting with experience in data governance, data quality, or master data management.
• Familiarity with cloud data platforms (e.g., Azure, AWS, Google Cloud).
• Familiarity with AI technology and tools.